Hailong Wang

1.4k total citations · 1 hit paper
22 papers, 1.0k citations indexed

About

Hailong Wang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Hailong Wang has authored 22 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Hailong Wang's work include RNA modifications and cancer (8 papers), Epigenetics and DNA Methylation (6 papers) and MicroRNA in disease regulation (4 papers). Hailong Wang is often cited by papers focused on RNA modifications and cancer (8 papers), Epigenetics and DNA Methylation (6 papers) and MicroRNA in disease regulation (4 papers). Hailong Wang collaborates with scholars based in China and United States. Hailong Wang's co-authors include Guoguang Ying, Tao Ning, Dongying Liu, Hongli Li, Qiumo Zhang, Haiyang Zhang, Ming Bai, Xinyi Wang, Shaohua Ge and Le Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and Molecular Cancer.

In The Last Decade

Hailong Wang

22 papers receiving 1.0k citations

Hit Papers

CAF secreted miR-522 suppresses ferroptosis and promotes ... 2020 2026 2022 2024 2020 250 500 750

Peers

Hailong Wang
Comparison fields: 5 of 75
  • Molecular Biology 777
  • Cancer Research 613
  • Pulmonary and Respiratory Medicine 407
  • Oncology 175
  • Immunology 101
Replace Qiumo Zhang with:
Qiumo Zhang China
Xueqi Ou China
Marco Giallombardo Belgium
Shiyao Sui China
Xiao-Dan Peng China
Yingke Liang China
Xiulan Zheng China
Zhefang Wang Germany
Jieyi Ma China
Qiumo Zhang China View profile →
Citations per field, relative to Hailong Wang
Hailong Wang · 1×
Citations per year, relative to Hailong Wang
Hailong Wang · 1×

Countries citing papers authored by Hailong Wang

Since Specialization
Citations

This map shows the geographic impact of Hailong Wang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hailong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailong Wang more than expected).

Fields of papers citing papers by Hailong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hailong Wang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hailong Wang. The network helps show where Hailong Wang may publish in the future.

Co-authorship network of co-authors of Hailong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hailong Wang. A scholar is included among the top collaborators of Hailong Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hailong Wang. Hailong Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 1
4 1
5 1
6 17
7 1
8 5
9 2
10 1
11 28
12 21
13 68
14 4
15
CAF secreted miR-522 suppresses ferroptosis and promotes acquired chemo-resistance in gastric cancer breakdown →
776
16 5
17 20
18 14
19 9
20 38

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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